AI Bibliography
AI Bibliography |
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Szeligowski, R. (2018). Cognifying the ooda loop: Improved maritime decision making Gravely Naval Research Group, Naval War College. |
| Resource type: Report/Documentation BibTeX citation key: Szeligowski2018 View all bibliographic details  |
Categories: Artificial Intelligence, Cognitive Science, Complexity Science, Computer Science, Data Sciences, Decision Theory, General, Geopolitical, Military Science Subcategories: Big data, Command and control, Cyber, Decision making, Deep learning, Human decisionmaking, Machine learning, Military research, Networked forces, Neural nets, Psychology of human-AI interaction, Strategy, United States Creators: Szeligowski Publisher: Gravely Naval Research Group, Naval War College Collection: |
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| Abstract |
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Challenges on the future battlefield make it imperative that the U.S. Navy adopt artificial intelligence AI to compress the OODA loop and augment decision making at the tactical and operational levels of war. The evolution into advanced human-machine collaboration will enable command and control C2 for successful application of the Distributed Maritime Operations DMO. This paper will advance Admiral Richardsons, the Chief of Naval Operations CNO strategy for achieving exponential growth rate of naval combat power by automating the Orient and Decide portions of the Observation-Orientation-Decision-Action OODA loop. Understanding the essence of decision making through the OODA loop concept and its relationship to the C2 highlights areas where human cognition is limited.
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